ML Engineer - Computer Vision

Infosys•Richardson, TX

14h

About The Position

Infosys is seeking a ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud. Required Qualifications: Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of experience in Information Technology Strong hands-on experience with MLOps , model deployment, CI/CD, and monitoring. Proficiency in Computer Vision frameworks : OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc Experience deploying AI models on edge devices , Deepstream, Nvidia Services Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc Hands-on with containerization , model optimization , and hardware acceleration Solid understanding of data pipelines , feature stores , and ML model lifecycle Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others Preferred Qualifications: Experience with GCP cloud services and Kubernetes Experienced in Agile way of working, manage team effort and track through JIRA Certifications in GCP, MLOps and Computer vision Technology High Impact client communication Domain experience with Retail Clients Strong problem-solving skills and ability to evaluate multiple solution paths Excellent communication and stakeholder management skills The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Requirements

Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area.
This position may require travel in the US
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
At least 4 years of experience in Information Technology
Strong hands-on experience with MLOps , model deployment, CI/CD, and monitoring.
Proficiency in Computer Vision frameworks : OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
Experience deploying AI models on edge devices , Deepstream, Nvidia Services
Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
Hands-on with containerization , model optimization , and hardware acceleration
Solid understanding of data pipelines , feature stores , and ML model lifecycle
Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others

Nice To Haves

Experience with GCP cloud services and Kubernetes
Experienced in Agile way of working, manage team effort and track through JIRA
Certifications in GCP, MLOps and Computer vision Technology
High Impact client communication
Domain experience with Retail Clients
Strong problem-solving skills and ability to evaluate multiple solution paths
Excellent communication and stakeholder management skills

Responsibilities

Designing scalable ML pipelines
Optimizing CV models for edge devices
Operationalizing AI solutions in production environments using MLOPS framework for Model Management
Work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud